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2023 | OriginalPaper | Chapter

4. Leveraging Fog Computing for Healthcare

Author : Avita Katal

Published in: Deep Learning Technologies for the Sustainable Development Goals

Publisher: Springer Nature Singapore

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Abstract

The Internet of Things (IoT) links various gadgets all around the world. Remote monitoring of health and tracking, exercise program, and remote medical support are all examples of a developing sector in the healthcare system. With the advent of IoT-based healthcare technology, it is possible to relieve pressure on healthcare systems, minimize healthcare costs, and enhance rate of computation and execution. The cloud was utilized to handle the complicated and massive amounts of medical information produced by IoT devices. Delay, bandwidth use, real-time reaction latencies, security, and confidentiality are all important considerations when integrating IoT cloud services. To overcome the above-mentioned issues, the concept of fog computing came into existence. Fog computing facilitates on-time, consistent delivery of services despite overcoming difficulties such as interruptions or disturbances, as well as overhead expenses associated with data transport to the cloud. The chapter covers an introduction to fog computing, its architecture and characteristics. The chapter provides detailed information about the use of fog computing in the domain of healthcare and concludes with the case studies and research challenges in this domain.

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Metadata
Title
Leveraging Fog Computing for Healthcare
Author
Avita Katal
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-5723-9_4

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